Gemini 2.5 Flash vs GPT-5: Pricing Comparison
Compare pricing, capabilities, and costs for your LLM workloads.
Gemini 2.5 Flash
Pricing (per 1M tokens)
Input$0.3000
Output$2.50
Cached Input$0.0300
Batch Input$0.1500
Batch Output$1.25
Context & Output
Context Window1M tokens
Max Output65.5K tokens
Capabilities
Categorymid
Multimodaltext + image + audio
Fine-tuningNo
StreamingYes
OpenAI
GPT-5
Pricing (per 1M tokens)
Input$1.25
Output$10.00
Cached Input$0.1250
Batch Input$0.6250
Batch Output$5.00
Context & Output
Context Window400K tokens
Max Output128K tokens
Capabilities
Categoryflagship
Multimodaltext + image + audio
Fine-tuningNo
StreamingYes
Quick Verdict
Cheaper Input Price
Gemini 2.5 Flash
76.0% cheaper
Cheaper Output Price
Gemini 2.5 Flash
75.0% cheaper
Larger Context Window
Gemini 2.5 Flash
+600K tokens
Cost Comparison
Sample workload: 1,000,000 input tokens + 1,000,000 output tokens
Gemini 2.5 Flash
$2.80
$0.3000/1M input + $2.50/1M output
GPT-5
$11.25
$1.25/1M input + $10.00/1M output
Gemini 2.5 Flash is 75.1% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, Gemini 2.5 Flash or GPT-5?
For input tokens, Gemini 2.5 Flash is cheaper at $0.3000 per 1M tokens. For output tokens, Gemini 2.5 Flash is cheaper at $2.50 per 1M tokens. The overall cost depends on your workload's input/output ratio.
What is the context window size of Gemini 2.5 Flash vs GPT-5?
Gemini 2.5 Flash has a context window of 1M tokens, while GPT-5 has 400K tokens. Gemini 2.5 Flash supports a larger context window of 1M tokens, which is beneficial for processing longer documents.
How do Gemini 2.5 Flash and GPT-5 compare for batch processing?
Both models support batch processing with discounted rates. Gemini 2.5 Flash offers a better batch rate at $0.1500 per 1M input tokens. Batch processing is ideal for non-time-sensitive workloads where you can wait for processing.
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